Compressed sensing; Sparsity; Support set;

压缩感知； 稀疏度； 支撑集；

It discusses the exploitation of sparsity in large LP problems as used in practice.

对高阶线性规划问题实际应用的稀疏技术的开发作了探讨.

It is hard to cluster high-dimensional data using traditional clustering algorithm because of the sparsity of data.

在高维空间中，由于数据的稀疏性，传统的聚类方法难以有效地聚类高维数据。

Unlike conventional deconvolution methods, the BPD uses an L1 norm constraint on model reflectivity to impose sparsity.

不同于传统的反褶积方法，BPD使用L1范数约束模型的反射率来增加了稀疏性。

The sparsity of SAR image data was discussed based on the backscattering properties of targets in the image.

利用合成孔径雷达（SAR）图像中目标的后向散射特性和目标散射中心的理论，分析了SAR图像数据稀疏性的成因。

To overcome the difficulty of data sparsity in recommendation systems, a collaborative filtering (CF) algorithm based on clustering basal users is presented.

为了降低数据稀疏性的影响，提高推荐系统的推荐生成质量，提出了一种基于多层相似性用户聚类的协同过滤推荐算法。

It is necessary and possible to lead the concept of sparsity into of labor value.

将稀少性的概念引入劳动价值论既有必要,也有可能.

Least square support vector machines regression without sparsity needs longer training time currently, and is not adapted to online real-time training.

现有最小二乘支持向量机回归的训练和模型输出的计算需要较长的时间，不适合在线实时训练。

According to compressive sensing theory, encoding a video sequence into a few pseudo-random projections of each frame is reasonable due to the sparsity in the interested information.

根据压缩感知理论，用每帧的少量伪随机投影编码一个视频序列。